A Low-Computation Approach to Point Cloud Filtering via Lidar and Camera Fusion-Reference-Cited by-同舟云学术

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A Low-Computation Approach to Point Cloud Filtering via Lidar and Camera Fusion

Published:2023-11-09 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Development and Learning (ICDL)
language:
Short-container-title:

Author:

Chen Xiangqian¹,Liu Di²,Wan Lihong³,Baldi Simone⁴

Affiliation:

1. School of Cyber Science & Engineering, Southeast University,China

2. School of Computation, Information and Technology, Technical University of Munich (TUM),Germany

3. Origin Dynamics Intelligent Robot Co.,Ltd.,China

4. School of Mathematics, Southeast University,China

Funder

National Key R&D Program of China

Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10364334/10364349/10364402.pdf?arnumber=10364402

Reference27 articles.

1. MonoSLAM: Real-Time Single Camera SLAM

2. A Multi-view 3D Vehicle Detection Method Based On Novel 3D Proposal Generation Method

3. Towards tactical behaviour planning under uncertainties for automated vehicles in urban scenarios

4. Robust Method for Removing Dynamic Objects from Point Clouds

5. The Peopleremover—Removing Dynamic Objects From 3-D Point Cloud Data by Traversing a Voxel Occupancy Grid

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